Titlebook: Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement; Teena Sharma,Nishchal K. Verma Book 2024 Th

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leniency

Uncultured

Introduction,ge is characterized by various visible elements, including illumination, color, and gradients. Unfortunately, factors such as blur, noise, and block artifacts near edges can significantly impact these visible aspects, leading to a decline in the efficacy of computer vision-based decision-making algo

FEIGN

Geyser

SAGE

Z-Score Method,th a focus on applications in multi-media. The presented approach involves estimating scene transmission through a .-score based weighting function and utilizing global atmospheric light for image dehazing. In contrast, the method equalizes the illumination channel by employing the .-score weighting

轉(zhuǎn)換

Image Dehazing Using Type-2 Fuzzy Approach,timating the depth map and global atmospheric light from the observed hazy image. Subsequently, the estimated depth map is used to generate the true scene transmission. Finally, the observed hazy image undergoes dehazing through the atmospheric scattering model, utilizing the scene transmission and

偉大

COST

Special Transfusion Situations,mages produced by CSIDNet successfully strike a balance between speed and accuracy. The chapter presents the results of CSIDNet highlighting the potential application of CSIDNet in critical and real-time scenarios.

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